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Atmospheric Data Scientist Jobs in Chicago, IL (NOW HIRING)

The data science team consists of highly motivated and experienced data scientists and they are a ... The atmosphere is very collaborative - they work out difficult problems together and the work that ...

The data science team consists of highly motivated and experienced data scientists and they are a ... The atmosphere is very collaborative - they work out difficult problems together and the work that ...

Earth Science Tutor

Skokie, IL ยท Remote

$40/hr

... atmospheric processes to climate. Adapts instruction using rock and mineral samples, weather data ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

Earth Science Tutor

Chicago, IL ยท Remote

$40/hr

... atmospheric processes to climate. Adapts instruction using rock and mineral samples, weather data ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

... atmospheric processes to climate. Adapts instruction using rock and mineral samples, weather data ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

... atmospheric processes to climate. Adapts instruction using rock and mineral samples, weather data ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

... atmospheric processes to climate. Adapts instruction using rock and mineral samples, weather data ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

... atmospheric processes to climate. Adapts instruction using rock and mineral samples, weather data ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

Earth Science Tutor

Wheaton, IL ยท Remote

$40/hr

... atmospheric processes to climate. Adapts instruction using rock and mineral samples, weather data ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

... atmospheric processes to climate. Adapts instruction using rock and mineral samples, weather data ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

... atmospheric processes to climate. Adapts instruction using rock and mineral samples, weather data ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

... atmospheric processes to climate. Adapts instruction using rock and mineral samples, weather data ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

... atmospheric processes to climate. Adapts instruction using rock and mineral samples, weather data ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

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Showing results 1-20

Atmospheric Data Scientist information

See Chicago, IL salary details

$38.6K

$126.4K

$202.4K

How much do atmospheric data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for atmospheric data scientist in Chicago, IL is $126,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Atmospheric Data Scientist, and why are they important?

To thrive as an Atmospheric Data Scientist, you need a solid background in atmospheric science, statistics, and programming, typically supported by a degree in meteorology, atmospheric science, or a related quantitative field. Experience with technical tools such as Python, R, MATLAB, and familiarity with remote sensing data, GIS software, and machine learning frameworks is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and convey findings to diverse audiences. These skills are crucial for generating accurate insights, supporting research, and informing policy or operational decisions based on atmospheric data.

What types of projects do Atmospheric Data Scientists typically work on, and how do they collaborate with other experts?

Atmospheric Data Scientists often engage in projects such as climate modeling, air quality forecasting, and weather prediction, which require analyzing complex environmental datasets. They routinely collaborate with meteorologists, environmental engineers, and software developers to design computational models and interpret results. Working in cross-functional teams, they help translate scientific findings into actionable insights for policy makers, businesses, or the public. This collaborative environment fosters both technical skill development and a broader understanding of atmospheric science applications.

What is an Atmospheric Data Scientist?

An Atmospheric Data Scientist is a professional who analyzes large datasets related to the Earth's atmosphere, such as weather patterns, climate change, and air quality. They use statistical methods, machine learning, and computational tools to extract insights from satellite data, sensor networks, and climate models. Their work helps improve weather forecasting, inform environmental policies, and advance scientific understanding of atmospheric processes. Atmospheric Data Scientists often collaborate with meteorologists, climate researchers, and governmental agencies.

What is the difference between Atmospheric Data Scientist vs Meteorologist?

AspectAtmospheric Data ScientistMeteorologist
Required CredentialsDegree in atmospheric science, data science, or related field; strong programming skillsDegree in meteorology or atmospheric science; often requires certification
Work EnvironmentResearch labs, data analysis centers, tech companiesWeather stations, TV stations, government agencies
Industry UsageData analysis, modeling, climate researchWeather forecasting, public weather reports

While both roles involve atmospheric sciences, Atmospheric Data Scientists focus on analyzing large datasets and developing models using programming skills, often working in research or tech environments. Meteorologists primarily forecast weather and communicate findings to the public, working in media or government agencies. The roles overlap in understanding atmospheric phenomena but differ in their core focus and work settings.

What are popular job titles related to Atmospheric Data Scientist jobs in Chicago, IL? For Atmospheric Data Scientist jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Atmospheric Data Scientist jobs in Chicago, IL look for? The top searched job categories for Atmospheric Data Scientist jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Atmospheric Data Scientist jobs? Cities near Chicago, IL with the most Atmospheric Data Scientist job openings:
Infographic showing various Atmospheric Data Scientist job openings in Chicago, IL as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $126,438 per year, or $60.8 per hour.

Data Scientist

Quanta Search

Chicago, IL โ€ข Remote

Other

Medical, Dental, Vision

Posted 8 days ago


Job description

Our client a fast-growing online consumer lender specializing in installment lending and lines of
credit. Analytics is uniquely fundamental to this organization and culture which means you have
the opportunity to be engaged with all aspects of our business and work on really diverse and
challenging problems; from marketing to credit/risk to operations and even investor relations.
The data science team consists of highly motivated and experienced data scientists and they are
a strategic partner in developing and evolving the processes, technology, and decisions of the
business. The atmosphere is very collaborative - they work out difficult problems together and the work that
they do has a meaningful and immediate impact on the business. They have a python-based,
custom-built platform for running all the credit modeling which means that
they fully own our modeling processes from POC to production. They are constantly working on
adding new models and improving existing ones and as a member of the team you'll have a set
of models and analyses that will be your own.
Are you a data scientist ready to step into a role with more responsibility and freedom? Do you
thrive in a fast-paced, challenging environment? Do you have experience in python working
across a variety of data science tasks? Our client is looking for other inquisitive minds to
help them solve challenging problems as they grow and scale their business. They heavily use the
following techniques and technologies:
Modeling and machine learning
Advanced feature engineering
Python - pandas, numpy, scikit-learn
Anaconda, Jupyter notebooks
SQL - (PostgresSQL)
Deploying and validating models in production
Docker
An ideal candidate is well-experienced in at least a few of these, and would like to get proficient
with the remainder, and maybe has good suggestions of other data science tools and
methodologies that they haven't used yet.
Who are they looking for?
You are curious and highly driven. You like to sink your teeth into really challenging problems
and when you're in the zone on a tough project, the time flies by. You're comfortable with and
enjoy working on problems that are rarely well-defined. You can manage multiple projects at
once and are able to switch between tasks as priorities change. You are highly organized and
capable of managing your time (they don't want to micromanage).
Qualifications:
Bachelor's degree or equivalent (Mathematics, Statistics, Physics, Biostatistics,
Engineering), and 2+ years of related experience, Masters or Ph.D. preferred
Experience with:
o Python - pandas, numpy, scikit-learn

o Anaconda, Jupyter notebooks
o R - dplyr, ggplot, lm, etc.
o Version control systems (Git/GitHub)
o SQL, PostgreSQL

Ability to communicate analysis approaches and results in an organized and clear way
Must be flexible and be willing to learn new tools/methods quickly
Must be comfortable working in a fast-paced environment
Must be a strong team player
Must be able to drive projects to completion independently
Must be authorized to work in the United States
Nice to have skills: Python development, Docker, shell scripting, Bash
Benefits/Perks
Competitive pay and benefits package including medical, dental, vision
Flex hours, including occasional work from home
Casual work environment
A large variety of projects to work on
You'll get to know the ins and outs of the business at a level of detail that is difficult or
impossible in a large company
Rapid advancement in your breadth and depth of skills
Work with industry leaders, including some of Chicago's best FinTech professionals
A fun, highly collaborative environment.